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Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
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Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
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Related Experiment Video

Updated: Jun 18, 2026

Topographical Estimation of Visual Population Receptive Fields by fMRI
06:02

Topographical Estimation of Visual Population Receptive Fields by fMRI

Published on: February 3, 2015

Visual gamma oscillations and evoked responses: variability, repeatability and structural MRI correlates.

Suresh D Muthukumaraswamy1, Krish D Singh, Jennifer B Swettenham

  • 1CUBRIC, School of Psychology, Park Place, Cardiff University, Cardiff, CF10 3AT, UK. sdmuthu@cardiff.ac.uk

Neuroimage
|December 1, 2009
PubMed
Summary

Visual gamma oscillations show high individual variability but are repeatable within individuals over time. This finding impacts the design of future studies on gamma oscillations in visual processing.

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Last Updated: Jun 18, 2026

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Area of Science:

  • Neuroscience
  • Visual Information Processing
  • Electrophysiology

Background:

  • Gamma oscillations (approximately 40 Hz) are increasingly studied for their role in visual processing.
  • Limited data exists on the repeatability and inter-individual variability of induced gamma oscillations.
  • Normative data for gamma oscillation parameters is lacking.

Purpose of the Study:

  • To investigate the intra-individual repeatability of visual gamma oscillations.
  • To establish the first normative data for visual gamma oscillation parameters.
  • To explore inter-individual variability in gamma oscillation frequency, bandwidth, and amplitude.

Main Methods:

  • Electroencephalography (EEG) was used to record visual gamma oscillations.
  • Participants underwent repeated recording sessions to assess repeatability.
  • Analysis focused on frequency, bandwidth, amplitude, and morphology of gamma band responses.

Main Results:

  • Evoked responses demonstrated high repeatability across sessions.
  • Induced visual gamma oscillations exhibited significant inter-individual variability in frequency, bandwidth, and amplitude.
  • These gamma oscillation parameters remained stable within individuals for at least 4 weeks.
  • Gamma frequency was found to decline with age and correlate positively with pericalcarine cortex thickness.

Conclusions:

  • High inter-individual variability necessitates large sample sizes for between-group gamma oscillation studies.
  • High intra-individual repeatability makes gamma oscillation parameters suitable for repeated-measures designs, such as pharmacological studies.
  • Observed dissociations between evoked responses and gamma oscillations suggest distinct underlying generative mechanisms.
  • Age-related decline and cortical thickness correlation provide further insights into gamma oscillation dynamics.